Recently, a concurrent projection to latent structures (CPLS) for multivariate statistical process was proposed. It has been proved to be a better monitoring method than the traditional PLS. However, its fault diagnosis methods have not been developed yet. In this paper, we discuss a new fault diagnosis approach based on CPLS. Five monitoring indices used in CPLS are unified into two general fo...

A new method that researching fault diagnosis of high-voltage (HV) circuit breaker (CB) is proposed. The method combines Wavelet Packet (WP) with Radical Basis Function (RBF) Neural Network (NN). Firstly, by applying the theory of WP decomposition and reconstruction, the mechanical vibration signal of CB was decomposed into different frequency bands, and the coefficients are reconstructed in th...

The adoption of the brushless DC motor in electric drive vehicle industry continues to grow due its robustness and ability meet torque–speed requirements. This work presents implementation a fault-tolerant control (FTC) for BLDC designed vehicles. paper focuses on studying defect Ha sensor signal reconstruction, assuming possible cases, but same principle is applied other two sensors (Hb Hc ). ...

In this paper the problem of simultaneous reconstruction of the state, the sensor fault and the uncertainty in linear systems is considered. Inspired by the idea in chaotic masking, one scheme for chaotic secure communication, this paper proposes a new scheme to resolve the above problem. Together with iterative learning strategy, the generalized state observer proposed in chaotic masking can b...

The diagnosis of a system lies on fault detection and localization, but also on magnitudes estimation of the detected faults. A method widely used for this diagnosis is Principal Component Analysis (PCA). After detection, the faults are frequently localized using the technique of structuring residues. It is to find a modification that makes the transformed residues sensitive or insensitive to c...